Software Engineer
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Key skills for this role
Role Overview
We are seeking a talented and motivated Software Engineer to join Qualys team of highly motivated engineers responsible for Saas based products. This role is ideal for engineers who enjoy building scalable backend systems, solving distributed systems challenges, and contributing to the development of large-scale cloud-native platforms.
You will participate in the design, development, deployment, and support of highly scalable SaaS-based cloud security platforms processing hundreds of millions of transactions and terabytes of data daily. The role provides an opportunity to work on modern microservices architectures, cloud-native platforms, and large-scale distributed systems while growing technical expertise and engineering excellence.
Key Skills for This Role
Full Job Posting
Job Summary
We are seeking a talented and motivated Software Engineer to join Qualys team of highly motivated engineers responsible for Saas based products. This role is ideal for engineers who enjoy building scalable backend systems, solving distributed systems challenges, and contributing to the development of large-scale cloud-native platforms.
You will participate in the design, development, deployment, and support of highly scalable SaaS-based cloud security platforms processing hundreds of millions of transactions and terabytes of data daily. The role provides an opportunity to work on modern microservices architectures, cloud-native platforms, and large-scale distributed systems while growing technical expertise and engineering excellence.
Responsibilities
- Design and develop scalable backend services, platform components, and middleware systems using Java and related technologies
- Build reliable and maintainable APIs, distributed services, and cloud-native applications for large-scale SaaS environments
- Write clean, efficient, and maintainable code following engineering best practices
- Participate in architecture discussions, design reviews, performance optimization, scalability improvements, and reliability initiatives
- Build reusable frameworks, libraries, tools, and developer utilities to improve engineering productivity
- Collaborate with architects, DevOps, and engineering teams to support CI/CD, observability, and operational excellence
- Troubleshoot distributed systems issues across services, databases, messaging systems, and cloud infrastructure
- Participate in code reviews, debugging, root cause analysis, and production support activities
- Contribute to system reliability, resiliency, monitoring, and operational visibility across platform services
- Follow engineering best practices, coding standards, and continuous improvement initiatives
- Explore and adopt modern engineering tools and productivity practices where applicable
Required Skills & Experience
- 1–5 years of hands-on experience in backend software development for SaaS products or distributed systems
- Strong programming skills in Java with a good understanding of object-oriented design principles, data structures, concurrency, and system design fundamentals
- Experience building RESTful APIs, microservices, and distributed applications
- Experience with messaging technologies such as Kafka, RabbitMQ, JMS, or similar systems
- Exposure to CI/CD pipelines and DevOps practices using tools such as Jenkins, GitLab, Docker, Kubernetes, or Helm
- Strong understanding of databases, SQL optimization, and data modeling concepts
- Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
- Familiarity with cloud platforms such as AWS, Azure, or private cloud environments
- Strong debugging, troubleshooting, and analytical problem-solving skills
- Understanding of scalability, resiliency, observability, and production-grade system design concepts
Preferred Qualifications
- Experience working on cloud security, cybersecurity, or enterprise SaaS platforms
- Exposure to performance engineering and observability tools
- Experience contributing to large-scale distributed systems and cloud-native platforms
- Interest in AI-assisted development tools such as Cursor, Windsurf, Claude Code, GitHub Copilot, or similar platforms
- Basic understanding of emerging AI engineering concepts such as MCP integrations, agentic workflows, RAG pipelines, AI-powered developer tooling, or LLM-based automation
- Understanding of SRE concepts and production reliability engineering
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
About Qualys
Cloud-based security, compliance, and cyber risk management platform.
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